Analytics Consultant - Hybrid at Experian

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

10 Sep, 26

Salary

0.0

Posted On

12 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Excel, Python, R, Tableau, Power BI, Snowflake, AWS, Data Analysis, Consulting, Data Visualisation, Machine Learning, Project Coordination, Stakeholder Management, Quantitative Analysis

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. Job Description Sydney or Melbourne | Experian Marketing Services About the role Experian Marketing Services (EMS) is a global leader in data-driven marketing solutions. We manage some of Australia's most comprehensive consumer databases, combining rich data with advanced analytics to help organisations make smarter decisions. As an Analytics Consultant, you'll provide customised data and analytics solutions to our clients. You'll report to Head of Analytics Consulting and work with client's team members and our internal teams to turn complex data into decisions that make an impact. What you'll do Provide custom analytics solutions and translate client needs into practical analytical approaches and applicable outcomes Build client relationships and engage with all kinds of partners, facilitate discussions, and communicate findings Lead and contribute to analytics projects, coordinate project activities and provide quality analytics solutions. Guide efficiency and new ideas, identify opportunities to improve processes and methodologies. Qualifications What you'll bring A tertiary qualification in analytics, statistics, mathematics, economics, or a related quantitative field 3–6 years' experience delivering data, analytics, or consulting projects 3+ years of experience using SQL, Excel, Python, or R to analyse data Experience with data visualisation tools such as Tableau or Power BI Experience working with cloud data platforms (e.g., Snowflake, AWS) What you'll gain Hands-on experience with real-world data challenges using advanced analytics tools and industry-leading marketing solutions Personalised development from managers and senior team members Opportunities to grow your technical skills (SQL, data visualisation, automation) and consulting capabilities Exposure to diverse projects — from data enrichment and dashboarding to insights analysis and machine learning applications A collaborative culture where your ideas are valued and your contributions make a difference Why Experian? Our team lives by a "high impact, low ego" philosophy — we value collaboration, curiosity, and continuous improvement over titles or hierarchy. You'll work in a supportive environment where managers and senior team members provide hands-on coaching, not just oversight. We challenge each other with constructive feedback and celebrate wins together. Additional Information Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Analytics Schedule: Full Time

Responsibilities

Provide customized data and analytics solutions to clients by translating business needs into practical analytical approaches. Lead analytics projects and collaborate with internal teams to turn complex data into impactful business decisions.